GitHub topics: knearest-neighbor-algorithm

Repositories

kshitijshrivastava1903/Data-Science-And-Machine-Learning-Projects

Used supervised and unsupervised machine learning algorithms for classification and regression tasks on real datasets

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roshancyriacmathew/Supervised-machine-learning-on-iris-datatset

This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.

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wrajvi/Algorithm-FashionRecommendationEngine

Fashion Recommendation Engine using Deep Learning.

Language: Python - Size: 206 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shogunbanik18/Spam-Defender

Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).

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aravindskumar98/Image-classification-using-hand-crafted-features

Hand crafted features and Learned Features for classification of faces on Yale32x32 dataset. LBP, HoG, SRC, Eigenfaces, Fischerfaces used with conventional ML algorithms

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mauryashobhit/books_recommendation

books recommendation system

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shogunbanik18/spam-detector

Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).

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gokcesucu/Machine-Learning-Lab-1

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

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akshayratnawat/NaturalLanguageProcessingSpecialization

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PrateekDutta2001/Online-Food-Delivery-Preference

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rajtulluri/Predicting-Car-Prices

Predicting Car prices given the various characteristics

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andresgtn/dxb-marina-listings-recommender

Property listings recommender for Dubai Marina. (The website might take 10 seconds to load the first time it is launched).

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mquazi/ML-projects

Some of my Machine Learning (SVM, Decision Trees, Random Forest, K Nearest Neighbors, Deep learning aka Neural Network, XGBoost) projects

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american-perspectives-capstone/american-attitudes

Our team acquired survey data from the Pew Research Panel, and we explored the drivers of pessimism in American Prospective Attitudes. Understanding what most likely drives pessimistic or optimistic thinking about the future will help business leaders clarify strategies for moving forward and guide expectations of future success in the customers they serve, products offered, investments made, in Marketing and Sales, and throughout their business organization.

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paddywardle/Heart-Disease-Classification---Python

Exploratory data analysis was performed on a dataset heart disease dataset, constructing various visualisations, to gain useful insights about the data. Various machine learning algorithms were then trained to classify whether someone has heart disease or not based on various features, scoring each algorithm based on their accuracy and deciding on which algorithm was the best to use for future predictions.

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ebubekirdgn/Machine-Learning-2018

Machine Learning Algorithm Examples

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EslamTK/Students-Performance-System

Students performance system to help students improve their academic performance

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mariajbp/LEI

Recommendation of Medical Exams to Support Clinical Diagnose Based on Patient’s Symptoms

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Silviatulli/BCI_Matlab

Brain-Computer Interface - data analysis, k nearest neighbors classifier

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MohamedOmar2020/13-machine-learning-models

Six machine learning models for predicting bladder cancer progression using Caret package

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Jatin-Goyal-552/stroke_prediction

Stroke Prediction

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TomekGniazdowski/machine-learning-algorithms

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Rabadaz/K-Nearest-Neighbor-C

Implementation of the well-known KNN Algorithm

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nitya123-github/Malware-Analysis

Malware analysis of files, detect the type of malware and check whether its a malware or not by using virus total.

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SameerSvk10/Digit-Recognition-and-Localization

This repository is a implementation of one of the task in e-Yantra Robotics Competition (eYRC) 2015-16

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elkoiko/k-nearest_neighbors

K-nearest neighbors algorithm

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mvrck96/Course--Information_Processes_Analysis

Lab works on Information Processes Analysis subject. Taught on 1st sem of applied mathematics master programm.

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Lawrence-Krukrubo/Machine_Learning

Machine learning is the sub-field of Computer Science, that gives Computers the ability to learn without being explicitly programmed (Arthur samuel, American pioneer in the field of Computer gaming and AI , coined the term Machine Learning in 1959, while at IBM )

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sunnypwang/knn_interactive

An interactive example web app for K-nearest neighbor algorithm

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TStud/Wine-Dataset-Exploratory-Data-Analysis

Applying Clustering algorithm on famous WIne Dataset from Kaggle.

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devalparikh/OnlineAdRegression

A machine learning project using logical regression and KNN to clasify if a user will interact with an online advertisement

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priyanshu-bisht/knn

K Nearest Neighbor Algorithm implemented in python using numpy

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mesc08/Machine-Learning-Algorithms

All machine Learning algorithms practiced in detail using python with there datasets.

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rupalshrivastava/Artificial-Neural-Network-and-K-Nearest-Neighbors

Implemented Artificial Neural Networks, and K nearest neighbors for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

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